Triple

T13362809
Position Surface form Disambiguated ID Type / Status
Subject Batian E318860 entity
Predicate isHigherThan P13790 FINISHED
Object Point Lenana E318862 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Point Lenana | Statement: [Batian, isHigherThan, Point Lenana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Point Lenana
Context triple: [Batian, isHigherThan, Point Lenana]
  • A. Point Lenana chosen
    Point Lenana is the third-highest peak of Mount Kenya and a popular, non-technical trekking summit for climbers.
  • B. Paparoa
    Paparoa is a small rural settlement in New Zealand known for its historic village character and location in the Northland Region.
  • C. Winnellie
    Winnellie is a suburb within the Darwin metropolitan area in Australia's Northern Territory, known for its industrial and commercial precincts.
  • D. SS Waimarama
    SS Waimarama was a British merchant cargo ship, notably part of the ill-fated World War II Pedestal convoy that attempted to relieve the besieged island of Malta.
  • E. Taganga
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628affd081909f1790d333f0eef4 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7267c99788190b158b1d9f57ceba2 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:32 p.m.